Literature DB >> 17047641

The inverse relationship between number of steps per day and obesity in a population-based sample: the AusDiab study.

T Dwyer1, D Hosmer, T Hosmer, A J Venn, C L Blizzard, R H Granger, J A Cochrane, S N Blair, J E Shaw, P Z Zimmet, D Dunstan.   

Abstract

BACKGROUND: Physical activity (PA) is inversely associated with obesity but the effect has been difficult to quantify using questionnaires. In particular, the shape of the association has not yet been well described. Pedometers provide an opportunity to better characterize the association.
METHODS: Residents of households over the age of 25 years in randomly selected census districts in Tasmania were eligible to participate in the AusDiab cross-sectional survey conducted in 1999-2000. 1848 completed the AusDiab survey and 1126 of these (609 women and 517 men) wore a pedometer for 2-weekdays. Questionnaire data on recent PA, TV time and other factors were obtained. The outcomes were waist circumference (in cm) and body mass index (BMI) (kg/m(2)).
RESULTS: Increasing daily steps were associated with a decline in the obesity measures. The logarithmic nature of the associations was indicated by a sharper decline for those with lower daily steps. For example, an additional 2000 steps for those taking only 2000 steps per day was associated with a reduction of 2.8 (95% confidence interval (CI): 2.1,4.4) cm in waist circumference among men (for women; 2.2 (95% CI: 0.6, 3.9 cm)) with a baseline of only 2000, steps compared to a 0.7 (95% CI 0.3, 1.1) cm reduction (for women; 0.6 (95% CI: 0.2, 1.0)) for those already walking 10,000 steps daily. In the multivariable analysis, clearer associations were detected for PA and these obesity measures using daily step number rather than PA time by questionnaire.
INTERPRETATION: Pedometer measures of activity indicate that the inverse association between recent PA and obesity is logarithmic in form with the greatest impact for a given arithmetic step number increase seen at lower levels of baseline activity. The findings from this study need to be examined in prospective settings.

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Year:  2006        PMID: 17047641     DOI: 10.1038/sj.ijo.0803472

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  24 in total

1.  Habitual physical activity is associated with improved anthropometric and androgenic profile in PCOS: a cross-sectional study.

Authors:  F M Mario; S K Graff; P M Spritzer
Journal:  J Endocrinol Invest       Date:  2016-10-22       Impact factor: 4.256

2.  Does increasing steps per day predict improvement in physical function and pain interference in adults with fibromyalgia?

Authors:  Anthony S Kaleth; James E Slaven; Dennis C Ang
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-12       Impact factor: 4.794

3.  Physical activity, measures of obesity, and cardiometabolic risk: the Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Paul A McAuley; Haiying Chen; Duck-Chul Lee; Enrique Garcia Artero; David A Bluemke; Gregory L Burke
Journal:  J Phys Act Health       Date:  2013-05-10

4.  Steps per day: the road to senior health?

Authors:  Yukitoshi Aoyagi; Roy J Shephard
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

5.  Obesity in Women: Insights for the Clinician.

Authors:  Zujaja Tauqeer; Gricelda Gomez; Fatima Cody Stanford
Journal:  J Womens Health (Larchmt)       Date:  2017-10-27       Impact factor: 2.681

6.  Evaluation of a Worksite-Based Small Group Team Challenge to Increase Physical Activity.

Authors:  Jessica M Tullar; Timothy J Walker; Timothy F Page; Wendell C Taylor; Rolando Roman; Benjamin C Amick
Journal:  Am J Health Promot       Date:  2018-07-11

7.  Do Short Spurts of Physical Activity Benefit Cardiovascular Health? The CARDIA Study.

Authors:  Daniel K White; Kelley Pettee Gabriel; Yongin Kim; Cora E Lewis; Barbara Sternfeld
Journal:  Med Sci Sports Exerc       Date:  2015-11

8.  Neighbourhood environment correlates of physical activity: a study of eight Czech regional towns.

Authors:  Dagmar Sigmundová; Walid El Ansari; Erik Sigmund
Journal:  Int J Environ Res Public Health       Date:  2011-01-28       Impact factor: 3.390

9.  Objectively measured physical activity and the subsequent risk of incident dysglycemia: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab).

Authors:  Anne-Louise Ponsonby; Cong Sun; Obioha C Ukoumunne; Angela Pezic; Alison Venn; Jonathan E Shaw; David W Dunstan; Elizabeth L M Barr; Steven N Blair; Jenny Cochrane; Paul Z Zimmet; Terence Dwyer
Journal:  Diabetes Care       Date:  2011-05-11       Impact factor: 19.112

Review 10.  Are behavioral interventions effective in increasing physical activity at 12 to 36 months in adults aged 55 to 70 years? A systematic review and meta-analysis.

Authors:  Nicola Hobbs; Alan Godfrey; Jose Lara; Linda Errington; Thomas D Meyer; Lynn Rochester; Martin White; John C Mathers; Falko F Sniehotta
Journal:  BMC Med       Date:  2013-03-19       Impact factor: 8.775

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